University of Denver — Visiting Teaching Assistant Professor, Business Information & Analytics

The Daniels College of Business at the University of Denver (DU) invites applications for one Visiting Teaching Assistant Professor in the Department of Business Information and Analytics (BIA). The position begins September 1, 2021 and runs through June 2022.

The Department of Business Information and Analytics is an academic unit of the Daniels College of Business at the University of Denver in Colorado. DU is the oldest independent university in the Rocky Mountain region, with approximately 12,000 students in undergraduate and graduate programs. DU is classified as a Doctoral/Research University with high research activity. The Daniels College of Business is one of the largest colleges within the University, with 1,800 undergraduate and 1,000 graduate students. We offer a variety of majors and minors, including two bachelors degrees, four MBA degree programs and seven specialized masters degrees. Founded in 1908 and continuously accredited by AACSB International since 1923, we transform lives, organizations and communities through educational experiences, outreach and knowledge creation. We are committed to the principles of multiculturalism, diversity, and inclusive excellence through involvement and participation in university and college wide projects and initiatives. For more information about DU’s diversity and inclusive excellence, see and for a list of DU Employee Affinity Groups, see

Daniels is proud to be among the top business schools nationally and internationally to receive recognition for its graduate and undergraduate programs from U.S. News & World Report, Bloomberg Businessweek, Financial Times and Forbes. With over 300 days of sunshine a year, the nations largest city park system and a thriving business community, a Pew Research Study lists Denver as the #1 city in which people want to live. The Department of Business Information and Analytics (BIA) merges the disciplines of Information Technology, Statistics and Operations Management into a department focusing on the key needs of todays organizations to create, manage and understand the wealth of information they possess. The Department of BIA offers a masters in Business Analytics and an undergraduate major in business analytics with minors focusing on business analytics or statistics. Building on a legacy of leadership and first-mover advantage, the Department offers rigorous academic instruction, enjoys strong industry support and has 18 full-time faculty members. The Department is well positioned to be a leader in the developing fields of Business Analytics and Business Intelligence.

Position Summary
The positions have a teaching responsibility of three classes per 10-week quarter for three quarters – September-November, January-March, and March-June. The areas of interest include applied business statistics, business analytics, information technology, database, programming, predictive analytics, data mining and visualization, project management, simulation, and/or optimization. Teaching responsibilities may include both undergraduate and graduate level courses.

Faculty members are expected to participate in department and college faculty meetings and engage in service activities. Working effectively and collegially with diverse groups of students, faculty, staff, and/or community members is an integral part of the job responsibility.

Essential Functions
The University of Denver follows the quarter system, where classes meet for 10 weeks during the fall, winter and spring quarters followed by a final exam period. Professors are expected to attend all scheduled class sessions and to be involved in curriculum and pedagogy development, creating learning objectives, syllabi creation and management, timely and consistent grading, classroom management, student advising, student meetings and mentoring, testing/quizzes, instruction assessment, and professional development in educational topics. Teachers are also expected to be responsive in student communications.

Research and Scholarship
Intellectual contributions are valued, however, research and publications are not a core component of this position.

The individuals who fill these positions will be expected to participate in the academic life of the Department of Business Information and Analytics and Daniels College faculty meetings, assurance of learning, curriculum development, and the advising of students.

Knowledge, Skills, and Abilities

  • Demonstrated knowledge and experience with a variety of teaching methods and/or curricular perspectives to effectively engage diverse populations and learning styles.
  • Demonstrated commitment to working with students from diverse backgrounds.
  • Know how to appropriately write, speak, and perform within a diverse, global business environment.
  • Demonstrated commitment to the principles of multiculturalism, diversity, and inclusivity which may be demonstrated through involvement and participation in projects and initiatives.

Required Qualifications

  • Master’s degree in business analytics, statistics, information technology, management information systems, decision science, or related discipline. Other degrees (finance, marketing, management, or similar) will be considered with evidence of strong analytical training and/or experience OR Bachelor’s degree in relevant field with 7 years of analytics/programming experience in a relevant area (statistics, predictive analytics, data mining and visualization, project management, simulation, or optimization).
  • Demonstrated potential for teaching excellence in multiple areas such as business statistics and analytics, database, predictive analytics, data mining and visualization, project management, simulation, advanced data management platforms (AWS, Azure, etc.) and/or optimization.
  • Experience with teaching one or more of the following: Excel, Programming (such as R, Python, etc.), or Database (such as Access, SQL Server, Oracle, etc.).

Preferred Qualifications

  • PhD or DBA in business, statistics, information technology, management information systems, decision science or related discipline.
  • Work experience in one or more areas: statistics, information technology, management information systems, business analytics, or education.
  • Active in the business community (e.g. through association membership, consulting, publications, presentations, etc.).

Application Deadline
For best consideration, please submit your application materials by July 15, 2021.

Special Instructions
Candidates must apply online through to be considered. Only applications submitted online will be accepted.

Salary Grade Number
The salary grade for the position is UC.

Salary Range
The salary for this position is $60,000 – $65,000.

The University of Denver has provided a compensation range that represents its good faith estimate of what the University may pay for the position at the time of posting. The University may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on factors such as the qualifications of the selected candidate, departmental budget availability, internal salary equity considerations, and available market information, but not based on a candidate’s sex or any other protected status.

The University of Denver offers excellent benefits, including medical, dental, retirement, paid time off, tuition benefit and ECO pass. The University of Denver is a private institution that empowers students who want to make a difference. Learn more about the University of Denver.

Please include the following documents with your application:
Cover Letter
One-page diversity statement describing how the candidate’s research, teaching and/or service contributes to DU’s values, practices, and actions regarding diversity, equity, and inclusive excellence (

The University of Denver is committed to enhancing the diversity of its faculty and staff. We are an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment regardless of age, race, color, national origin, religion, sex, sexual orientation, gender identity, disability, military/ veteran status or any other status protected by law.

All offers of employment are based upon satisfactory completion of a criminal history background check.